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20082024
most citedOptimal Pricing to Manage Electric Vehicles in Coupled Power and Transportation Networks

257 citations · 1.4k across the 55 of their papers we have counts for

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7 papers · 1 filter

stat.ML2022★ 3 cited

Decentralized Competing Bandits in Non-Stationary Matching Markets

Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran +2

Understanding complex dynamics of two-sided online matching markets, where the demand-side agents compete to match with the supply-side (arms), has recently received substantial in…

stat.ML2021★ 1 cited

Open Problem: Tight Online Confidence Intervals for RKHS Elements

Sattar Vakili, Jonathan Scarlett, Tara Javidi

Confidence intervals are a crucial building block in the analysis of various online learning problems. The analysis of kernel based bandit and reinforcement learning problems utili…

stat.ML2019

Adaptive Sampling for Estimating Multiple Probability Distributions

Shubhanshu Shekhar, Tara Javidi, Mohammad Ghavamzadeh

We consider the problem of allocating samples to a finite set of discrete distributions in order to learn them uniformly well in terms of four common distance measures: ,…

stat.ML2019★ 25 cited

Decentralized Bayesian Learning over Graphs

Anusha Lalitha, Xinghan Wang, Osman Kilinc +3

We propose a decentralized learning algorithm over a general social network. The algorithm leaves the training data distributed on the mobile devices while utilizing a peer to peer…

stat.ML2019

The Label Complexity of Active Learning from Observational Data

Songbai Yan, Kamalika Chaudhuri, Tara Javidi

Counterfactual learning from observational data involves learning a classifier on an entire population based on data that is observed conditioned on a selection policy. This work c…

stat.ML2019★ 2 cited

Multiscale Gaussian Process Level Set Estimation

Shubhanshu Shekhar, Tara Javidi

In this paper, the problem of estimating the level set of a black-box function from noisy and expensive evaluation queries is considered. A new algorithm for this problem in the Ba…